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A Single Extracellular Vesicle (EV) Flow Cytometry Approach to Reveal EV Heterogeneity
Author(s) -
Shen Wen,
Guo Kaizhu,
Adkins Gary Brent,
Jiang Qiaoshi,
Liu Yang,
Sedano Sabrina,
Duan Yaokai,
Yan Wei,
Wang Shizhen Emily,
Bergersen Kristina,
Worth Danielle,
Wilson Emma H.,
Zhong Wenwan
Publication year - 2018
Publication title -
angewandte chemie international edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.831
H-Index - 550
eISSN - 1521-3773
pISSN - 1433-7851
DOI - 10.1002/anie.201806901
Subject(s) - extracellular vesicles , flow cytometry , single cell analysis , population , extracellular vesicle , chemistry , biomolecule , cytometry , nanotechnology , biophysics , computational biology , biology , cell , microvesicles , microbiology and biotechnology , materials science , biochemistry , microrna , medicine , gene , environmental health
Extracellular vesicles (EVs) actively participate in intercellular communication and pathological processes. Studying the molecular signatures of EVs is key to reveal their biological functions and clinical values, which, however, is greatly hindered by their sub‐100 nm dimensions, the low quantities of biomolecules each EV carries, and the large population heterogeneity. Now, single‐EV flow cytometry analysis is introduced to realize single EV counting and phenotyping in a conventional flow cytometer for the first time, enabled by target‐initiated engineering (TIE) of DNA nanostructures on each EV. By illuminating multiple markers on single EVs, statistically significant differences are revealed among the molecular signatures of EVs originating from several breast cancer cell lines, and the cancer cell‐derived EVs among the heterogeneous EV populations are successfully recognized. Thus, our approach holds great potential for various biological and biomedical applications.